Energy management_Kit_Team5_VITHACKATHON
by sajju Updated: Jan 9, 2022
Solution Kit
The kit was used to make an application which can be used by energy management professionals using the provided dataset. we have used this kit to design and train a model to predict the total output Power of the Solar Power Plant by using an Artificial Neural Networks. This is kit consist of the libraries which can be used for the ML model
LIBRARIES USED
tensorflowby tensorflow
An Open Source Machine Learning Framework for Everyone
tensorflowby tensorflow
C++
175017
Version:v2.13.0-rc0
License: Permissive (Apache-2.0)
pandasby pandas-dev
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pandasby pandas-dev
Python
38499
Version:v2.0.2
License: Permissive (BSD-3-Clause)
numpyby numpy
The fundamental package for scientific computing with Python.
numpyby numpy
Python
23587
Version:v1.24.3
License: Permissive (BSD-3-Clause)
seabornby mwaskom
Statistical data visualization in Python
seabornby mwaskom
Python
10737
Version:v0.12.2
License: Permissive (BSD-3-Clause)
auto-sklearnby automl
Automated Machine Learning with scikit-learn
auto-sklearnby automl
Python
6954
Version:v0.15.0
License: Permissive (BSD-3-Clause)
matplot-well-logby g2boojum
Simple well log plotting using Python and matplotlib
matplot-well-logby g2boojum
Python
23
Version:Current
License: Permissive (MIT)
Group Name 2
Group Name 3
Kit Solution Source
solar_power_predictionby Raagulbharatwaj
solar_power_predictionby Raagulbharatwaj
Jupyter Notebook
0
Version:Current
License: No License